RT Journal Article SR Electronic T1 A stochastic model of malaria transition rates from longitudinal data: considering the risk of "lost to follow-up". JF Journal of Epidemiology and Community Health JO J Epidemiol Community Health FD BMJ Publishing Group Ltd SP 153 OP 156 DO 10.1136/jech.37.2.153 VO 37 IS 2 A1 B L Verma A1 S K Ray A1 R N Srivastava YR 1983 UL http://jech.bmj.com/content/37/2/153.abstract AB A model, using stochastic processes, is developed to estimate some epidemiological parameters of malaria in a homogeneous population from longitudinal data. Assessments of transition probabilities from one state of health to the other are made taking "lost to follow-up" as a competing risk. The model is based on the assumptions that individuals are transferred at constant rate between states, and only one transition is possible between two consecutive surveys. It shows a good fit to the observed data; the model is simple to understand and can easily be used if computer facilities are not available.